Sharrell Lee
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in
-
- Cancer, Hypoxia, and Metabolism 3
- Cancer Genomics and Diagnostics 1
-
- DNA Repair Mechanisms 1
- Co-authors
- Vivek Mittal (7 shared papers)Dingcheng Gao (4 shared papers)Nasser K. Altorki (3 shared papers)Tina El Rayes (2 shared papers)Anna Durrans (2 shared papers)Jianting Sheng (2 shared papers)Fuhai Li (2 shared papers)Stephen T.C. Wong (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Proceedings of the National Academy of Sciences (1 paper)Development (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Sharrell Lee
9 papers receiving 1.8k citations
Sharrell Lee's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 554
- Oncology 963
- Molecular Biology 1.0k
- Cell Biology 199
- Immunology 234
Countries citing papers authored by Sharrell Lee
This map shows the geographic impact of Sharrell Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sharrell Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharrell Lee more than expected).
Fields of papers citing papers by Sharrell Lee
This network shows the impact of papers produced by Sharrell Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sharrell Lee. The network helps show where Sharrell Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharrell Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance Hit paper breakdown → | 2015 | 1443 |
| 2 | 2015 | 177 | |
| 3 | 2009 | 160 | |
| 4 | 2007 | 52 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 9 | |
| 7 | 2015 | 4 | |
| 8 | 2015 | 3 | |
| 9 | 2016 | 1 |
About Sharrell Lee
Sharrell Lee is a scholar working on Cancer Research, Molecular Biology, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ferroptosis and cancer prognosis (2 papers), Inflammatory mediators and NSAID effects (2 papers), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Liver physiology and pathology (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cancer Research (554 citations), Oncology (963 citations), Molecular Biology (1.0k citations), Cell Biology (199 citations) and Immunology (234 citations). Sharrell Lee has collaborated with scholars based in United States and South Korea. Frequent co-authors include Vivek Mittal, Dingcheng Gao, Nasser K. Altorki, Tina El Rayes, Anna Durrans, Jianting Sheng, Fuhai Li, Stephen T.C. Wong, Kari Fischer and Linda T. Vahdat. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Proceedings of the National Academy of Sciences, Development and Nature.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.